Senior ML Platform Engineer, Marketplace Optimization

Waymo; California (MO); On-site; USD 213,000 - 263,000; Full time

Benefits offered by this job

Bonus program

Equity incentive plan

Company benefits

Job summary

Waymo is seeking a seasoned Backend Engineer to implement and scale the core economic engine for its Ride-Hailing services. You will develop infrastructure to train and deploy ML models that drive pricing, matching, and vehicle positioning in real time.

Applicants should have a BS in CS, 5+ years in backend with Java or C++, and experience delivering production ML pipelines with Python frameworks. Knowledge of optimization is a plus.

Qualifications

• BS in Computer Science or equivalent practical experience.
• 5+ years of backend development with Java or C++.
• Experience building backend platforms supporting multiple product use-cases/services.
• Prior ML engineering experience in Python using mature ML frameworks.

Responsibilities

• Implement and scale the core economic engine for Waymo's ride-hailing commercial services.
• Develop high-level infrastructure code for automatically training and deploying sophisticated optimization and prediction ML models to make real-time decisions for pricing, matching, and positioning.

Skills

Backend development

Java

C++

Python

ML engineering

Real-time decisions

Education

BS in Computer Science

Tools

TensorFlow

PyTorch

Keras

Job description

Waymo is seeking a seasoned Backend Engineer to implement and scale the core economic engine for its Ride-Hailing services. You will develop infrastructure to train and deploy ML models that drive pricing, matching, and vehicle positioning in real time.

Applicants should have a BS in CS, 5+ years in backend with Java or C++, and experience delivering production ML pipelines with Python frameworks. Knowledge of optimization is a plus.